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Snowflake AWS Architect

Job in Washington, District of Columbia, 20022, USA
Listing for: Xebia
Full Time position
Listed on 2026-01-27
Job specializations:
  • IT/Tech
    Data Engineer, Data Science Manager, Data Warehousing, Business Systems/ Tech Analyst
Salary/Wage Range or Industry Benchmark: 200000 - 250000 USD Yearly USD 200000.00 250000.00 YEAR
Job Description & How to Apply Below

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Snowflake AWS Architect

For more than 20 years, our global network of passionate technologists and pioneering craftspeople has delivered cutting‑edge technology and game‑changing consulting to companies on the brink of AI‑driven digital transformation. Since 2001, we have grown into a full‑service digital consulting company with 5500+ professionals working on a worldwide ambition.

Driven by the desire to make a difference, we keep innovating. Fueling the growth of our company with our knowledge worker culture. When teaming up with Xebia, expect in‑depth expertise based on an authentic, value‑led, and high‑quality way of working that inspires all we do.

Title

Snowflake AWS Architect

Location

Washington, DC (3 days onsite 2 days remote in a week)

Job Description
  • 8+ years of industry experience, including at least 3 years in a Snowflake consulting environment
  • Experience implementing and operating Snowflake‑centric solutions
  • Candidate should have strong experience in AWS services as well.
  • Proficiency in implementing data security measures, access controls, and design specifically within the Snowflake platform
  • Understanding of complete data analytics stack and workflow, from ETL to data platform design to BI and analytics tools
  • Strong skills in databases, data warehouses, and data processing
  • Extensive hands‑on expertise with SQL and SQL analytics
  • Familiarity with data science concepts and Python is a strong advantage
  • Knowledge of Snowflake components:
    Snowpipe, Query Parsing and Optimization, Snowpark, Snowflake ML, Authorization and Access Control Management in Snowflake, Metadata Management, Infrastructure Management & Auto‑scaling (supports multi‑cluster and auto‑scaling), handling PII using Data Masking, Snowflake Marketplace for datasets and applications
  • Dev Ops & Orchestration:
    Airflow, dbt, Jenkins
  • Good to have Snowflake certifications
  • Strong communication and presentation skills—confident in engaging both technical and executive audiences
  • Skilled in working collaboratively across engineering, product, and customer success teams

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